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Dive into the research topics where Kitsada Wudhikarn is active.

Publication


Featured researches published by Kitsada Wudhikarn.


JCI insight | 2017

An early-biomarker algorithm predicts lethal graft-versus-host disease and survival

Matthew J. Hartwell; Umut Ozbek; Ernst Holler; Anne S. Renteria; Hannah Major-Monfried; Pavan Reddy; Mina Aziz; William J. Hogan; Francis Ayuk; Yvonne A. Efebera; Elizabeth O. Hexner; Udomsak Bunworasate; Muna Qayed; Rainer Ordemann; Matthias Wölfl; Stephan Mielke; Attaphol Pawarode; Yi-Bin Chen; Steven M. Devine; Andrew C. Harris; Madan Jagasia; Carrie L. Kitko; Mark R. Litzow; Nicolaus Kröger; Franco Locatelli; George Morales; Ryotaro Nakamura; Ran Reshef; Wolf Rösler; Daniela Weber

BACKGROUND. No laboratory test can predict the risk of nonrelapse mortality (NRM) or severe graft-versus-host disease (GVHD) after hematopoietic cellular transplantation (HCT) prior to the onset of GVHD symptoms. METHODS. Patient blood samples on day 7 after HCT were obtained from a multicenter set of 1,287 patients, and 620 samples were assigned to a training set. We measured the concentrations of 4 GVHD biomarkers (ST2, REG3α, TNFR1, and IL-2Rα) and used them to model 6-month NRM using rigorous cross-validation strategies to identify the best algorithm that defined 2 distinct risk groups. We then applied the final algorithm in an independent test set (n = 309) and validation set (n = 358). RESULTS. A 2-biomarker model using ST2 and REG3α concentrations identified patients with a cumulative incidence of 6-month NRM of 28% in the high-risk group and 7% in the low-risk group (P < 0.001). The algorithm performed equally well in the test set (33% vs. 7%, P < 0.001) and the multicenter validation set (26% vs. 10%, P < 0.001). Sixteen percent, 17%, and 20% of patients were at high risk in the training, test, and validation sets, respectively. GVHD-related mortality was greater in high-risk patients (18% vs. 4%, P < 0.001), as was severe gastrointestinal GVHD (17% vs. 8%, P < 0.001). The same algorithm can be successfully adapted to define 3 distinct risk groups at GVHD onset. CONCLUSION. A biomarker algorithm based on a blood sample taken 7 days after HCT can consistently identify a group of patients at high risk for lethal GVHD and NRM. FUNDING. The National Cancer Institute, American Cancer Society, and the Doris Duke Charitable Foundation.


Blood | 2018

MAGIC biomarkers predict long term outcomes for steroid-resistant acute GVHD

Hannah Major-Monfried; Anne S. Renteria; Attaphol Pawarode; Pavan Reddy; Francis Ayuk; Ernst Holler; Yvonne A. Efebera; William J. Hogan; Matthias Wölfl; Muna Qayed; Elizabeth O. Hexner; Kitsada Wudhikarn; Rainer Ordemann; Rachel Young; Jay Shah; Matthew J. Hartwell; Mohammed S. Chaudhry; Mina Aziz; Aaron Etra; Gregory A. Yanik; Nicolaus Kröger; Daniela Weber; Yi-Bin Chen; Ryotaro Nakamura; Wolf Rösler; Carrie L. Kitko; Andrew C. Harris; Michael A. Pulsipher; Ran Reshef; Steven Kowalyk

Acute graft-versus-host disease (GVHD) is treated with systemic corticosteroid immunosuppression. Clinical response after 1 week of therapy often guides further treatment decisions, but long-term outcomes vary widely among centers, and more accurate predictive tests are urgently needed. We analyzed clinical data and blood samples taken 1 week after systemic treatment of GVHD from 507 patients from 17 centers of the Mount Sinai Acute GVHD International Consortium (MAGIC), dividing them into a test cohort (n = 236) and 2 validation cohorts separated in time (n = 142 and n = 129). Initial response to systemic steroids correlated with response at 4 weeks, 1-year nonrelapse mortality (NRM), and overall survival (OS). A previously validated algorithm of 2 MAGIC biomarkers (ST2 and REG3α) consistently separated steroid-resistant patients into 2 groups with dramatically different NRM and OS (P < .001 for all 3 cohorts). High biomarker probability, resistance to steroids, and GVHD severity (Minnesota risk) were all significant predictors of NRM in multivariate analysis. A direct comparison of receiver operating characteristic curves showed that the area under the curve for biomarker probability (0.82) was significantly greater than that for steroid response (0.68, P = .004) and for Minnesota risk (0.72, P = .005). In conclusion, MAGIC biomarker probabilities generated after 1 week of systemic treatment of GVHD predict long-term outcomes in steroid-resistant GVHD better than clinical criteria and should prove useful in developing better treatment strategies.


Hematological Oncology | 2018

Non-Hodgkin lymphoma in South East Asia: An analysis of the histopathology, clinical features, and survival from Thailand

Tanin Intragumtornchai; Udomsak Bunworasate; Kitsada Wudhikarn; Arnuparp Lekhakula; Jakrawadi Julamanee; Kanchana Chansung; Chittima Sirijerachai; Lalita Norasetthada; Weerasak Nawarawong; Archrob Khuhapinant; Noppadol Siritanaratanakul; Tontanai Numbenjapon; Kannadit Prayongratana; Suporn Chuncharunee; Pimjai Niparuck; Tawatchai Suwanban; Nongluk Kanitsap; Somchai Wongkhantee; Rutchanid Pornvipavee; Peerapon Wong; Nisa Makruasi; Pongsak Wannakrairot; Thamathorn Assanasen; Sanya Sukpanichnant; Paisarn Boonsakan; Wasana Kanoksil; Charin Ya-in; Kanita Kayasut; Winyu Mitranun; Naree Warnnissorn

Systemic reports on the descriptive epidemiology of non‐Hodgkin lymphoma (NHL) from Southeast Asia are scarce. A nationwide multi‐institutional registry was conducted to compare the histopathology, clinical features, and survival of Thai adult patients with NHL using large registries, especially those from Far East Asia (FEA). Using a web‐based registry system, 13 major medical centers from the 4 geographic regions of Thailand prospectively collected, from 2007 to 2014, the diagnostic pathology, according to the World Health Organization classification, 2008, clinical features and survival of 4056 patients who were newly diagnosed with NHL. The median age of the patients was 56 years (range, 16‐99 years). The male‐to‐female ratio was 1.3:1. From the total of 4056 patients, T/NK‐cell lymphoma (TNKCL) accounted for 12.6% of cases, and 5.1% had human immunodeficiency virus–associated lymphoma. The four leading histological subtypes were diffuse large B‐cell lymphoma, not otherwise specified (58.1%); follicular lymphoma (5.6%); extranodal mucosa‐associated lymphoid tissue lymphoma (5.2%); and peripheral T‐cell lymphoma, not otherwise specified (4.0%). With a median follow‐up duration of 46.1 months, the median overall survival of B‐cell NHL was significantly longer than that of patients with TNKCL (76.5 vs 28.8 months, P = .0001). Compared to FEA, the Thai registry had an approximately one‐half lower relative frequency of TNKCL; the prevalence of extranodal mucosa‐associated lymphoid tissue lymphoma was much lower than in Korea, and the frequency of extranodal TNKCL, nasal type, was strikingly low compared to China. It is concluded that while the median age of Thai patients with NHL was approximately a decade younger than for Caucasians, the long‐term survival rates for most histological subtypes were comparable. While the histological distribution generally complied with the characteristic Asian features, some differences from FEA were observed.


Biology of Blood and Marrow Transplantation | 2017

Biomarkers Predict Graft-Vs-Host Disease Outcomes Better Than Clinical Response after One Week of Treatment

Hannah Major-Monfried; Umut Ozbek; Anne S. Renteria; Matthew J. Hartwell; Attaphol Pawarode; Gregory A. Yanik; Francis Ayuk; Ernst Holler; Yvonne A. Efebera; William J. Hogan; Muna Qayed; Elizabeth O. Hexner; Kitsada Wudhikarn; Matthias Wölfl; Rainer Ordemann; Stephan Mielke; Udomsak Bunworasate; Steven M. Devine; Nicolaus Kroeger; Monzr Al-Malki; Yi-Bin Chen; Andrew C. Harris; Madan Jagasia; Carrie L. Kitko; Mark R. Litzow; Franco Locatelli; Ryotaro Nakamura; Pavan Reddy; Ran Reshef; Wolf Roesler


Annals of Hematology | 2017

Secondary central nervous system relapse in diffuse large B cell lymphoma in a resource limited country: result from the Thailand nationwide multi-institutional registry

Kitsada Wudhikarn; Udomsak Bunworasate; Jakrawadee Julamanee; Arnuparp Lekhakula; Suporn Chuncharunee; Pimjai Niparuck; Supachai Ekwattanakit; Archrob Khuhapinant; Lalita Norasetthada; Weerasak Nawarawong; Nisa Makruasi; Nonglak Kanitsap; Chittima Sirijerachai; Kanchana Chansung; Peerapon Wong; Tontanai Numbenjapon; Kannadit Prayongratana; Tawatchai Suwanban; Somchai Wongkhantee; Pannee Praditsuktavorn; Tanin Intragumtornchai


Blood | 2016

An Early Biomarker Algorithm Predicts Lethal Graft-Versus-Host Disease and Survival after Allogeneic Hematopoietic Cell Transplantation

Matthew J. Hartwell; Umut Ozbek; Ernst Holler; Anne S. Renteria; Pavan Reddy; Mina Aziz; William J. Hogan; Francis Ayuk; Yvonne A. Efebera; Elizabeth O. Hexner; Udomsak Bunworasate; Muna Qayed; Rainer Ordemann; Matthias Wölfl; Stephan Mielke; Attaphol Pawarode; Yi-Bin Chen; Steven M. Devine; Andrew C. Harris; Madan Jagasia; Carrie L. Kitko; Mark R. Litzow; Nicolaus Kroeger; Franco Locatelli; Ryotaro Nakamura; Ran Reshef; Wolf Roesler; Daniela Weber; Kitsada Wudhikarn; Gregory A. Yanik


Biology of Blood and Marrow Transplantation | 2017

An Early Biomarker Algorithm Predicts Lethal Graft-Vs-Host Disease and Survival after Allogeneic Hematopoietic Cell Transplantation

Matthew J. Hartwell; Umut Ozbek; Ernst Holler; Anne S. Renteria; Pavan Reddy; Mina Aziz; William J. Hogan; Francis Ayuk; Yvonne A. Efebera; Elizabeth O. Hexner; Udomsak Bunworasate; Muna Qayed; Rainer Ordemann; Matthias Wölfl; Stephan Mielke; Attaphol Pawarode; Yi-Bin Chen; Steven M. Devine; Andrew C. Harris; Madan Jagasia; Carrie L. Kitko; Mark R. Litzow; Nicolaus Kroeger; Franco Locatelli; Ryotaro Nakamura; Ran Reshef; Wolf Roesler; Daniela Weber; Kitsada Wudhikarn; Gregory A. Yanik


Blood | 2016

A Matched-Pair Analysis of EPOCH Versus CHOP As Frontline Therapy for Nodal Peripheral T-Cell Lymphoma, Excluding ALK-Positive Anaplastic T-Cell Lymphoma: A Multicenter Experience in Thailand

Lalita Norasetthada; Weerasak Nawarawong; Udomsak Bunworasate; Kitsada Wudhikarn; Arnuparp Lekhakula; Jakrawadee Julamanee; Tontanai Numbenjapon; Kannadit Prayongratana; Chittima Sirijerachai; Kanchana Chansung; Nisa Makruasi; Somchai Wongkhantee; Pannee Praditsuktavorn; Tanin Intragumtornchai


Blood | 2015

Mantle Cell Lymphoma, Rare Lymphoma Entity: A Result of Lymphoma Registry in Thailand

Nonglak Kanitsap; Naree Wannissorn; Arnuparp Lekhakula; Jakrawadee Julamanee; Archrob Khuhapinant; Chittima Sirijerachai; Kanchana Chansung; Lalita Norasetthada; Weerasak Nawarawong; Suporn Chuncharunee; Pimjai Niparuck; Kitsada Wudhikarn; Udomsak Bunworasate; Tontanai Numbenjapon; Kannadit Prayongratana; Somchai Wongkhantee; Peerapon Wong; Tawatchai Suwanban; Nisa Makruasi; Tanin Intragumtornchai


Blood | 2015

Clinical Features and Treatment Outcomes of Angioimmunoblastic T-Cell Lymphoma: An Analysis from a Nationwide Multicenter Registry, Thailand

Chittima Sirijerachai; Kanchana Chansung; Arnuparp Lekhakula; Jakrawadee Julamanee; Kitsada Wudhikarn; Udomsak Bunworasate; Lalita Norasetthada; Weerasak Nawarawong; Archrob Khuhapinant; Supachai Ekwattanakit; Tontanai Numbenjapon; Kannadit Prayongratana; Suporn Chuncharunee; Pimjai Niparuck; Tawatchai Suwanban; Nonglak Kanitsap; Somchai Wongkhantee; Peerapon Wong; Nisa Makruasi; Tanin Intragumtornchai

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Tontanai Numbenjapon

City of Hope National Medical Center

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Arnuparp Lekhakula

Prince of Songkla University

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Nisa Makruasi

Srinakharinwirot University

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